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Learning IPython for Interactive Computing and Data Visualization（Second Edition）
最新章節(jié)：
Index
Thisbooktargetsstudents,teachers,researchers,engineers,analysts,journalists,hobbyists,andalldataenthusiastswhoareinterestedinanalyzingandvisualizingreal-worlddatasets.Ifyouarenewtoprogramminganddataanalysis,thisbookisexactlyforyou.Ifyou'realreadyfamiliarwithanotherlanguageoranalysissoftware,youwillalsoappreciatethisintroductiontothePythondataanalysisplatform.Finally,therearemoretechnicaltopicsforadvancedreaders.Nopriorexperienceisrequired;thisbookcontainseverythingyouneedtoknow.
目錄(51章)
倒序
- coverpage
- Learning IPython for Interactive Computing and Data Visualization Second Edition
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Support files eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Getting Started with IPython
- What are Python IPython and Jupyter?
- Installing Python with Anaconda
- Introducing the Notebook
- A crash course on Python
- Ten Jupyter/IPython essentials
- Summary
- Chapter 2. Interactive Data Analysis with pandas
- Exploring a dataset in the Notebook
- Manipulating data
- Complex operations
- Summary
- Chapter 3. Numerical Computing with NumPy
- A primer to vector computing
- Creating and loading arrays
- Basic array manipulations
- Computing with NumPy arrays
- Summary
- Chapter 4. Interactive Plotting and Graphical Interfaces
- Choosing a plotting backend
- matplotlib and seaborn essentials
- Image processing
- Further plotting and visualization libraries
- Summary
- Chapter 5. High-Performance and Parallel Computing
- Accelerating Python code with Numba
- Writing C in Python with Cython
- Distributing tasks on several cores with IPython.parallel
- Further high-performance computing techniques
- Summary
- Chapter 6. Customizing IPython
- Creating a custom magic command in an IPython extension
- Writing a new Jupyter kernel
- Displaying rich HTML elements in the Notebook
- Customizing the Notebook interface with JavaScript
- Summary
- Index 更新時(shí)間：2021-07-09 21:38:40
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